AI at Work
Most people now use AI at work, but far fewer use it well. In about two hours, you will learn how AI works, where it helps you most, how to give it clear instructions and how to check its results, so that AI becomes a reliable colleague instead of a lucky guess.How to use AI well in your daily work, in about two hours.
What you will learn
You do not need to program to get great results from AI. This course gives you a clear way to understand, instruct and check AI tools, whether you are just starting out or already use a chat assistant every day.
- Understand what AI can and cannot do, and the difference between predictive and generative AI
- Write clear instructions with the Role, Context, Task and Format framework
- Check, improve and safely use AI results, and direct AI agents with the right guardrails
More details
This is practical knowledge for your everyday work. Across nine short chapters you move from how AI works to the tools that make it useful: a framework for clear instructions, strategies for harder problems, a cycle for improving weak answers and the basics of AI agents.
of organizations see at least some effect of AI on their profits, although nearly nine in ten use AI regularly. The difference lies in how well people use it.
Source: McKinsey, The State of AI, 2026You will learn what drives organizations to adopt AI, how to spot the tasks where it helps you most, and which risks and rules you need to know. A real case on tracking competitors with AI brings the tools together.
The course is designed for managers, professionals and everyone who works with information. No technical knowledge or programming is required.
The course takes about two hours in text and audio, is fully self-paced, and comes with lifetime access and no prerequisites. Pass the short final exam to earn a verifiable certificate.
What we will cover
9 focused chapters that take you from how AI works to the methods you will use every day, each with practical examples.
See the full curriculum
- Introduction
- The Evolution of Cognitive Computing
- The Statistical Engine
- The Core Limitations
- External Environmental Forces
- Internal Operational Forces
- The Friction Log Model
- Risks and Rules
- Role
- Context
- Task
- Format
- Garbage-In/Garbage-Out Formula
- The Consultation Strategy
- Strategic Reasoning Strategy
- Pattern-Matching Strategy
- How to Choose Your Strategy
- The C.P.R. Diagnostic Cycle
- The Capabilities Coaching Model
- The Skill-Building Shift
- The Agent Core: The Think-Act-Verify Loop
- Designing Agent Personas and Guardrails
- Multi-Agent Orchestration in Operations
- Case Study: Competitor Tracking
- Conclusion
Learn your way
Read or listen at your own pace, on any device — and yours to keep forever.
- No app neededIn your browser
- Any devicePhone to laptop
- Auto-savedContinue anytime
- Stay focusedDistraction-free
Certificate
A certificate you can
actually use
- Instantas a digital PDFPDF download
- Includedno extra fees
- Lifetimeno expiry
- ShareableLinkedIn & CV
- Verifiableunique ID number
About IBMI
A new course from IBMI
This course is new, so it has no ratings yet. You can read independent reviews of IBMI on our Trustpilot profile.
Program
This course is part of
a larger credential
It’s one of the four courses of the Digital Management program — and it counts toward that program certificate at no extra cost.
Good to know
Frequently asked questions
More questions? Visit the Help Center →
Short course, fast results
From start to certificate
in about 2 hours
Checkout takes a minute — chapter one opens right away.
Compact topics and real case studies, at your own pace.
Multiple choice, free retakes, no time limit.
Issued instantly — add it to your CV and LinkedIn.
AI at Work
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One-time payment · Lifetime access
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